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Gianluigi Rozza
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- affiliation: International School for Advanced Studies (SISSA), Mathematics Area, Trieste, Italy
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2020 – today
- 2025
- [j81]Lander Besabe
, Michele Girfoglio, Annalisa Quaini
, Gianluigi Rozza
:
Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model. Appl. Math. Comput. 488: 129121 (2025) - [j80]Fabio Zoccolan
, Maria Strazzullo
, Gianluigi Rozza
:
A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control. Comput. Methods Appl. Math. 25(1): 237- (2025) - [j79]Alessandro Pecile, Nicola Demo, Marco Tezzele, Gianluigi Rozza, Dimitri Breda:
Data-driven discovery of delay differential equations with discrete delays. J. Comput. Appl. Math. 461: 116439 (2025) - [j78]Francesco Romor, Giovanni Stabile, Gianluigi Rozza:
Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. J. Comput. Phys. 524: 113729 (2025) - 2024
- [j77]Davide Roznowicz, Giovanni Stabile, Nicola Demo, Davide Fransos, Gianluigi Rozza
:
Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics. Adv. Model. Simul. Eng. Sci. 11(1): 6 (2024) - [j76]Francesco Ballarin, Enrique Delgado Ávila
, Andrea Mola, Gianluigi Rozza:
Mathematical modelling and computational reduction of molten glass fluid flow in a furnace melting basin. Comput. Appl. Math. 43(7): 407 (2024) - [j75]Francesco Piccialli, Gianluigi Rozza, Giovanni Stabile:
Preface. Comput. Math. Appl. 155: 14 (2024) - [j74]Ivan Prusak
, Davide Torlo
, Monica Nonino
, Gianluigi Rozza
:
An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems. Comput. Math. Appl. 166: 253-268 (2024) - [j73]Jose Raul Bravo
, Giovanni Stabile, Markus Hess, J. A. Hernandez, R. Rossi, Gianluigi Rozza:
Geometrically parametrised reduced order models for studying the hysteresis of the Coanda effect in finite element-based incompressible fluid dynamics. J. Comput. Phys. 509: 113058 (2024) - [j72]Francesco Romor, Marco Tezzele, Gianluigi Rozza
:
A Local Approach to Parameter Space Reduction for Regression and Classification Tasks. J. Sci. Comput. 99(3): 83 (2024) - [d27]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Zenodo, 2024 - [d26]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Zenodo, 2024 - [d25]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Zenodo, 2024 - [d24]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Zenodo, 2024 - [i136]Sara M. Ichinaga, Francesco Andreuzzi, Nicola Demo, Marco Tezzele, Karl Lapo, Gianluigi Rozza, Steven L. Brunton, J. Nathan Kutz:
PyDMD: A Python package for robust dynamic mode decomposition. CoRR abs/2402.07463 (2024) - [i135]Ivan Prusak
, Davide Torlo, Monica Nonino, Gianluigi Rozza:
Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics. CoRR abs/2402.10570 (2024) - [i134]Sajad Salavatidezfouli, Saeid Rakhsha, Armin Sheidani, Giovanni Stabile, Gianluigi Rozza:
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface. CoRR abs/2402.10641 (2024) - [i133]Isabella Carla Gonnella, Moaad Khamlich, Federico Pichi, Gianluigi Rozza:
A stochastic perturbation approach to nonlinear bifurcating problems. CoRR abs/2402.16803 (2024) - [i132]Kabir Bakhshaei, Umberto Emil Morelli, Giovanni Stabile, Gianluigi Rozza:
Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods. CoRR abs/2402.19381 (2024) - [i131]Anna Ivagnes, Niccolò Tonicello, Paola Cinnella, Gianluigi Rozza:
Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods. CoRR abs/2403.05710 (2024) - [i130]Arash Hajisharifi, Rahul Halder, Michele Girfoglio, Andrea Beccari, Domenico Bonanni, Gianluigi Rozza:
A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems. CoRR abs/2403.14283 (2024) - [i129]Lander Besabe, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model. CoRR abs/2404.11718 (2024) - [i128]Nicola Clinco, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Computational study of numerical flux schemes for mesoscale atmospheric flows in a Finite Volume framework. CoRR abs/2404.19559 (2024) - [i127]Pierfrancesco Siena, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Stabilized POD Reduced Order Models for convection-dominated incompressible flows. CoRR abs/2404.19600 (2024) - [i126]Guglielmo Padula, Michele Girfoglio, Gianluigi Rozza:
A brief review of Reduced Order Models using intrusive and non-intrusive techniques. CoRR abs/2406.00559 (2024) - [i125]Anna Ivagnes, Giovanni Stabile, Gianluigi Rozza:
Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms. CoRR abs/2406.04169 (2024) - [i124]Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number. CoRR abs/2406.12701 (2024) - [i123]Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza:
A time-adaptive algorithm for pressure dominated flows: a heuristic estimator. CoRR abs/2407.00428 (2024) - [i122]Pierfrancesco Siena, Pasquale Claudio Africa, Michele Girfoglio, Gianluigi Rozza:
On the accuracy and efficiency of reduced order models: towards real-world applications. CoRR abs/2407.03325 (2024) - [i121]Harshith Gowrachari
, Nicola Demo, Giovanni Stabile, Gianluigi Rozza:
Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformations. CoRR abs/2407.18419 (2024) - [i120]Alessandro Pecile, Nicola Demo, Marco Tezzele, Gianluigi Rozza, Dimitri Breda:
Data-driven Discovery of Delay Differential Equations with Discrete Delays. CoRR abs/2407.19640 (2024) - [i119]Lander Besabe, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model. CoRR abs/2408.16723 (2024) - [i118]Giuseppe Alessio D'Inverno, Saeid Moradizadeh, Sajad Salavatidezfouli, Pasquale Claudio Africa, Gianluigi Rozza:
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction. CoRR abs/2410.03802 (2024) - [i117]Surabhi Rathore, Pasquale Claudio Africa, Francesco Ballarin, Federico Pichi, Michele Girfoglio, Gianluigi Rozza:
Projection-based Reduced Order Modelling for Unsteady Parametrized Optimal Control Problems in 3D Cardiovascular Flows. CoRR abs/2410.20828 (2024) - [i116]Pavan Pranjivan Mehta, Gianluigi Rozza:
Jacobi convolution polynomial for Petrov-Galerkin scheme and general fractional calculus of arbitrary order over finite interval. CoRR abs/2411.08080 (2024) - [i115]Moaad Khamlich, Federico Pichi, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Optimal Transport-Based Displacement Interpolation with Data Augmentation for Reduced Order Modeling of Nonlinear Dynamical Systems. CoRR abs/2411.08750 (2024) - [i114]Lorenzo Fabris, Marco Tezzele, Ciro Busiello, Mauro Sicchiero, Gianluigi Rozza:
Data-driven parameterization refinement for the structural optimization of cruise ship hulls. CoRR abs/2411.09525 (2024) - [i113]Kabir Bakhshaei, Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza:
Stochastic Parameter Prediction in Cardiovascular Problems. CoRR abs/2411.18089 (2024) - 2023
- [j71]Martin W. Hess, Annalisa Quaini
, Gianluigi Rozza
:
A data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolation. Adv. Comput. Math. 49(2): 22 (2023) - [j70]Anna Ivagnes
, Giovanni Stabile
, Andrea Mola, Traian Iliescu, Gianluigi Rozza
:
Hybrid data-driven closure strategies for reduced order modeling. Appl. Math. Comput. 448: 127920 (2023) - [j69]Nicola Demo, Marco Tezzele, Gianluigi Rozza
:
A DeepONet multi-fidelity approach for residual learning in reduced order modeling. Adv. Model. Simul. Eng. Sci. 10(1): 12 (2023) - [j68]Laura Meneghetti
, Nicola Demo, Gianluigi Rozza
:
A dimensionality reduction approach for convolutional neural networks. Appl. Intell. 53(19): 22818-22833 (2023) - [j67]Nicola Demo, Maria Strazzullo, Gianluigi Rozza
:
An extended physics informed neural network for preliminary analysis of parametric optimal control problems. Comput. Math. Appl. 143: 383-396 (2023) - [j66]Isabella Carla Gonnella, Martin W. Hess, Giovanni Stabile, Gianluigi Rozza
:
A two-stage deep learning architecture for model reduction of parametric time-dependent problems. Comput. Math. Appl. 149: 115-127 (2023) - [j65]Ivan Prusak
, Monica Nonino
, Davide Torlo, Francesco Ballarin
, Gianluigi Rozza
:
An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations. Comput. Math. Appl. 151: 172-189 (2023) - [j64]Michele Girfoglio
, Annalisa Quaini
, Gianluigi Rozza
:
A novel Large Eddy Simulation model for the Quasi-Geostrophic equations in a Finite Volume setting. J. Comput. Appl. Math. 418: 114656 (2023) - [j63]Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza
:
Pressure data-driven variational multiscale reduced order models. J. Comput. Phys. 476: 111904 (2023) - [j62]Michele Girfoglio
, Annalisa Quaini
, Gianluigi Rozza
:
A hybrid projection/data-driven reduced order model for the Navier-Stokes equations with nonlinear filtering stabilization. J. Comput. Phys. 486: 112127 (2023) - [j61]Arash Hajisharifi, Francesco Romano, Michele Girfoglio
, Andrea Beccari, Domenico Bonanni
, Gianluigi Rozza
:
A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations. J. Comput. Phys. 491: 112355 (2023) - [j60]Dario Coscia
, Anna Ivagnes
, Nicola Demo
, Gianluigi Rozza
:
Physics-Informed Neural networks for Advanced modeling. J. Open Source Softw. 8(87): 5352 (2023) - [j59]Monica Nonino
, Francesco Ballarin, Gianluigi Rozza
, Yvon Maday:
Projection Based Semi-Implicit Partitioned Reduced Basis Method for Fluid-Structure Interaction Problems. J. Sci. Comput. 94(1): 4 (2023) - [j58]Pierfrancesco Siena, Michele Girfoglio
, Francesco Ballarin, Gianluigi Rozza
:
Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters. J. Sci. Comput. 94(2): 38 (2023) - [j57]Francesco Romor, Giovanni Stabile, Gianluigi Rozza
:
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method. J. Sci. Comput. 94(3): 74 (2023) - [j56]Anna Ivagnes, Nicola Demo, Gianluigi Rozza
:
Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation. J. Sci. Comput. 95(1): 23 (2023) - [j55]Francesco Andreuzzi, Nicola Demo
, Gianluigi Rozza
:
A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems. SIAM J. Appl. Dyn. Syst. 22(3): 2432-2458 (2023) - [d23]Dario Coscia
, Anna Ivagnes
, Nicola Demo
, Gianluigi Rozza
:
PINA: Physics-Informed Neural networks for Advanced modeling. Zenodo, 2023 - [d22]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2303. Zenodo, 2023 [all versions] - [d21]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2304. Zenodo, 2023 [all versions] - [d20]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2305. Zenodo, 2023 [all versions] - [d19]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2306. Zenodo, 2023 [all versions] - [d18]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2307. Zenodo, 2023 [all versions] - [d17]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2308. Zenodo, 2023 [all versions] - [d16]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2309. Zenodo, 2023 [all versions] - [d15]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2310. Zenodo, 2023 [all versions] - [d14]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2311. Zenodo, 2023 [all versions] - [d13]Nicola Demo
, Marco Tezzele
, Gianluigi Rozza
:
EZyRB: Easy Reduced Basis method. Version v1.3.0.post2312. Zenodo, 2023 [all versions] - [i112]Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza:
A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control. CoRR abs/2301.01973 (2023) - [i111]Fabio Zoccolan, Maria Strazzullo, Gianluigi Rozza:
Stabilized Weighted Reduced Order Methods for Parametrized Advection-Dominated Optimal Control Problems governed by Partial Differential Equations with Random Inputs. CoRR abs/2301.01975 (2023) - [i110]Isabella Carla Gonnella, Martin W. Hess, Giovanni Stabile, Gianluigi Rozza:
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems. CoRR abs/2301.09926 (2023) - [i109]Efthymios N. Karatzas, Giovanni Stabile, Francesco Ballarin, Gianluigi Rozza:
Reduced Basis, Embedded Methods and Parametrized Levelset Geometry. CoRR abs/2301.12401 (2023) - [i108]Martina Teruzzi, Nicola Demo, Gianluigi Rozza:
A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration. CoRR abs/2302.06473 (2023) - [i107]Arash Hajisharifi, Francesco Romano, Michele Girfoglio
, Andrea Beccari, Domenico Bonanni
, Gianluigi Rozza:
A Non-Intrusive Data-Driven Reduced Order Model for Parametrized CFD-DEM Numerical Simulations. CoRR abs/2302.12625 (2023) - [i106]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A DeepONet Multi-Fidelity Approach for Residual Learning in Reduced Order Modeling. CoRR abs/2302.12682 (2023) - [i105]Julien Genovese, Francesco Ballarin, Gianluigi Rozza, Claudio Canuto:
Weighted reduced order methods for uncertainty quantification in computational fluid dynamics. CoRR abs/2303.14432 (2023) - [i104]Fabian Key, Max von Danwitz, Francesco Ballarin, Gianluigi Rozza:
Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting. CoRR abs/2303.16662 (2023) - [i103]Sajad Salavatidezfouli, Arash Hajisharifi, Michele Girfoglio
, Giovanni Stabile, Gianluigi Rozza:
Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review. CoRR abs/2304.03533 (2023) - [i102]Moaad Khamlich, Giovanni Stabile, Gianluigi Rozza, László Környei, Zoltán Horváth:
A physics-based reduced order model for urban air pollution prediction. CoRR abs/2305.04575 (2023) - [i101]Anna Ivagnes, Nicola Demo, Gianluigi Rozza:
A shape optimization pipeline for marine propellers by means of reduced order modeling techniques. CoRR abs/2305.07515 (2023) - [i100]Nicola Clinco, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Filter stabilization for the mildly compressible Euler equations with application to atmosphere dynamics simulations. CoRR abs/2305.12978 (2023) - [i99]Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach. CoRR abs/2305.13613 (2023) - [i98]Dario Coscia, Nicola Demo, Gianluigi Rozza:
Generative Adversarial Reduced Order Modelling. CoRR abs/2305.15881 (2023) - [i97]Federico Pichi, Gianluigi Rozza:
Reduced order models for the buckling of hyperelastic beams. CoRR abs/2305.19764 (2023) - [i96]Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza:
An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems. CoRR abs/2308.01733 (2023) - [i95]Francesco Romor, Davide Torlo, Gianluigi Rozza:
Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions. CoRR abs/2308.03378 (2023) - [i94]Francesco Romor, Giovanni Stabile, Gianluigi Rozza:
Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. CoRR abs/2308.03396 (2023) - [i93]Guglielmo Padula, Francesco Romor, Giovanni Stabile, Gianluigi Rozza:
Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions. CoRR abs/2308.03662 (2023) - [i92]Moaad Khamlich, Federico Pichi, Gianluigi Rozza:
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel. CoRR abs/2308.13840 (2023) - [i91]Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza:
Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets. CoRR abs/2309.13955 (2023) - [i90]Sajad Salavatidezfouli, Armin Sheidani, Kabir Bakhshaei, Ali Safari, Arash Hajisharifi, Giovanni Stabile, Gianluigi Rozza:
Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades. CoRR abs/2311.08130 (2023) - [i89]Rahul Halder, Giovanni Stabile, Gianluigi Rozza:
Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System. CoRR abs/2311.14045 (2023) - 2022
- [j54]Jan S. Hesthaven
, Cecilia Pagliantini, Gianluigi Rozza:
Reduced basis methods for time-dependent problems. Acta Numer. 31: 265-345 (2022) - [j53]Efthymios N. Karatzas
, Monica Nonino
, Francesco Ballarin, Gianluigi Rozza
:
A Reduced Order Cut Finite Element method for geometrically parametrized steady and unsteady Navier-Stokes problems. Comput. Math. Appl. 116: 140-160 (2022) - [j52]Andrea Lario, Romit Maulik, Oliver T. Schmidt, Gianluigi Rozza
, Gianmarco Mengaldo:
Neural-network learning of SPOD latent dynamics. J. Comput. Phys. 468: 111475 (2022) - [j51]Maria Strazzullo, Francesco Ballarin, Gianluigi Rozza:
POD-Galerkin model order reduction for parametrized nonlinear time-dependent optimal flow control: an application to shallow water equations. J. Num. Math. 30(1): 63-84 (2022) - [j50]Salvatore Cuomo
, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli
:
Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next. J. Sci. Comput. 92(3): 88 (2022) - [j49]Birgul Koc
, Changhong Mou
, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu
:
Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. J. Sci. Comput. 93(2): 54 (2022) - [c7]Laura Meneghetti
, Nicola Demo, Gianluigi Rozza:
A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks. ICIP 2022: 2206-2210 - [i88]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation. CoRR abs/2201.00756 (2022) - [i87]Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza:
Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network. CoRR abs/2201.01804 (2022) - [i86]Martin W. Hess, Gianluigi Rozza:
Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier-Stokes Equations. CoRR abs/2201.03228 (2022) - [i85]Monica Nonino, Francesco Ballarin, Gianluigi Rozza, Yvon Maday:
Projection based semi-implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid-Structure Interaction problems. CoRR abs/2201.03236 (2022) - [i84]Martin W. Hess, Andrea Lario, Gianmarco Mengaldo, Gianluigi Rozza:
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives. CoRR abs/2201.05404 (2022) - [i83]Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli:
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next. CoRR abs/2201.05624 (2022) - [i82]Xianyi Zeng, Giovanni Stabile, Efthymios N. Karatzas
, Guglielmo Scovazzi, Gianluigi Rozza:
Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method. CoRR abs/2201.09546 (2022) - [i81]Martin W. Hess, Annalisa Quaini, Gianluigi Rozza:
A Data-Driven Surrogate Modeling Approach for Time-Dependent Incompressible Navier-Stokes Equations with Dynamic Mode Decomposition and Manifold Interpolation. CoRR abs/2201.10872 (2022) - [i80]Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A novel Large Eddy Simulation model for the Quasi-Geostrophic Equations in a Finite Volume setting. CoRR abs/2202.00295 (2022) - [i79]Martin W. Hess, Annalisa Quaini, Gianluigi Rozza:
Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics. CoRR abs/2202.09250 (2022) - [i78]Giulio Ortali, Alessandro Corbetta, Gianluigi Rozza, Federico Toschi:
Towards a Numerical Proof of Turbulence Closure. CoRR abs/2202.09289 (2022) - [i77]Francesco Romor, Giovanni Stabile, Gianluigi Rozza:
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method. CoRR abs/2203.00360 (2022) - [i76]Pierfrancesco Siena, Michele Girfoglio, Gianluigi Rozza:
An introduction to POD-Greedy-Galerkin reduced basis method. CoRR abs/2203.08532 (2022) - [i75]Matteo Zancanaro, Giovanni Stabile, Gianluigi Rozza:
A segregated reduced order model of a pressure-based solver for turbulent compressible flows. CoRR abs/2205.09396 (2022) - [i74]Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza:
Pressure Data-Driven Variational Multiscale Reduced Order Models. CoRR abs/2205.15118 (2022) - [i73]